Linkage and linkage disequilibrium mapping of ERP and EEG phenotypes

Bernice Porjesz, Henri Begleiter, Kongming Wang, Laura Almasy, David B. Chorlian, Arthur T. Stimus, Samuel Kuperman, Sean J. O'Connor, John Rohrbaugh, Lance O. Bauer, Howard J. Edenberg, Alison Goate, John P. Rice, Theodore Reich

Research output: Contribution to journalArticlepeer-review

91 Scopus citations


Linkage analyses of highly heritable electrophysiological phenotypes (EEG, ERP) that can potentially identify individuals at risk for alcoholism were performed on a large sample of families with a high density of alcohol dependence as part of the Collaborative Study on the Genetics of Alcoholism (COGA); these genetic findings are summarized. Quantitative trait loci (QTLs) were identified for several ERP characteristics (P300, N100, N400) and for the beta frequencies of the EEG where we report linkage and linkage disequilibrium at a GABAA receptor gene on chromosome 4. Genetic analyses of ERPs suggest that several regions of the human genome contain genetic loci related to the generation of N100, N400 and P300, which are possible candidate loci underlying the functional organization of human neuroelectric activity. The advent of genomics and proteomics and a fuller understanding of gene regulation, will open new horizons on the critical electrical events so essential for human brain function.

Original languageEnglish
Pages (from-to)229-248
Number of pages20
JournalBiological Psychology
Issue number1-2
StatePublished - Oct 2002


  • EEG
  • ERP
  • Genetics
  • P300


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